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Anthropic CCAR-F Exam Syllabus Topics:

Anthropic Claude Certified Architect - Foundations Sample Questions:

1. You are building developer productivity tools using the Claude Agent SDK. The agent helps engineers explore unfamiliar codebases, understand legacy systems, generate boilerplate code, and automate repetitive tasks. It uses the built-in tools (Read, Write, Bash, Grep, Glob) and integrates with Model Context Protocol (MCP) servers.
An engineer asks the agent to find all files in the monorepo that import the @company/auth package to understand how authentication is used across services. Which built-in tool is most appropriate for this task?

A) Glob, to find files with "auth" in their filename or path
B) Read, starting with package.json files to trace dependency declarations
C) Grep, to search for the import statement pattern across file contents
D) Bash, to execute find. -type d -name "*auth*" and explore matching directories

2. Which practice MOST improves prompt maintainability?

A) Minimal punctuation.
B) Random ordering.
C) One paragraph containing all instructions.
D) Clearly separated sections with headings.

3. You are integrating Claude Code into your Continuous Integration/Continuous Deployment (CI/CD) pipeline. The system runs automated code reviews, generates test cases, and provides feedback on pull requests. You need to design prompts that provide actionable feedback and minimize false positives.
After deploying automated code review, developers report that approximately 35% of findings are false positives following consistent patterns: style suggestions that contradict team conventions, security warnings for patterns that are safe in the deployment environment, and performance suggestions that would degrade this particular use case.
You want to reduce false positives while enabling the model to generalize its judgment to novel code patterns it has not seen before.
Which approach is most effective?

A) Add general instructions telling Claude to be conservative and report only definite issues.
B) Create a comprehensive specification of every pattern that must not be flagged and include the complete document in the system prompt.
C) Use keyword-based post-processing to remove findings containing terms such as "convention,"
"context-dependent," or "trade-off."
D) Include few-shot examples containing annotated code snippets that distinguish acceptable project patterns from genuine issues in each category.

4. You are building a multi-agent research system using the Claude Agent SDK. A coordinator agent delegates to specialized subagents: one searches the web, one analyzes documents, one synthesizes findings, and one generates reports. The system researches topics and produces comprehensive, cited reports.
When researching "renewable energy adoption," the web search agent returns recent statistics (2024: 35% adoption) while the document analysis agent extracts data from internal reports (2021: 18% adoption). The synthesis agent incorrectly flags these as contradictory sources rather than recognizing the data shows growth over time. What change would best enable the synthesis agent to correctly interpret such temporal differences?

A) Require subagents to include publication or data collection dates in their structured outputs.
B) Add a conflict resolution agent that automatically discards older data when newer data exists for the same metric.
C) Instruct the synthesis agent to always treat the most recent data as authoritative and place older findings in a separate historical appendix.
D) Configure the web search agent to only return results from the past 6 months.

5. Your get_portfolio_value tool returns the total value of a user's investment portfolio. You're deciding between returning a structured JSON object with explicit fields versus returning the information as a formatted text string. What is the primary advantage of using structured output with defined fields?

A) JSON schemas automatically validate that the underlying API returned correct data before the agent processes it.
B) The agent can reliably extract specific values without parsing free-form text, reducing errors in subsequent operations.
C) Structured JSON consumes significantly fewer tokens than natural language, substantially reducing API costs.
D) Structured JSON is processed deterministically by the model, significantly improving accuracy when extracting values.

Solutions: